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    "### Regression\n",
    "\n"
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   "source": [
    "### Linear Regression\n",
    "\n"
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    "### Logistic Regression\n",
    "\n",
    "Logistic regression is the appropriate regression analysis to conduct when the dependent variable (output) is binary.  Like all regression analyses, the logistic regression is a predictive analysis.  Logistic regression is used to describe data and to explain the relationship between one dependent binary variable and one or more nominal, ordinal, interval or ratio-level independent variables.\n",
    "\n",
    "- The dependent variable should be binary in nature (e.g., presence vs. absent).\n",
    "- There should be no outliers in the data, which can be assessed by converting the continuous predictors to standardized scores\n",
    "- There should be no high correlations (multicollinearity) among the predictors.  This can be assessed by a correlation matrix among the predictors."
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